Sampling effects on machine-learning performance and tectonic controls on landslide susceptibility: insights from the Adra River basin (SE Spain)

This study develops an improved methodological framework for landslide susceptibility assessment in the Adra River basin (SE Spain), where landslides affect nearly 13% of the territory and their spatial distribution is strongly controlled by geology and tectonics. While single-point sampling is effe...

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Detalhes bibliográficos

Principais autores:	S. Boussouf, T. Fernández, M. Sánchez-Gómez
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2026-12-01
Colecção:	Geomatics, Natural Hazards & Risk
Assuntos:	Deep-seated landslides (DGSDs) machine learning ensembles proportional stratified sampling (PSS) GWLR tectonic geomorphology
Acesso em linha:	https://www.tandfonline.com/doi/10.1080/19475705.2026.2620641
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